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Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression

Publication status:: Published

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APA Style

Wild, P., Catto, J., Abbod, M., Linkens, D., Herr, A., Pilarsky, C., Wissmann, C., Hamdy, F., & Hartmann, A. (2007). Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression. PATHOLOGY RESEARCH AND PRACTICE, 203(5), 278–279.

MLA Style

Wild, P, et al. “Improving Gene Array Analysis: The Application of Artificial Intelligence Identifies Novel Biomarkers of Non Invasive Papillary Bladder Cancer Progression.” PATHOLOGY RESEARCH AND PRACTICE, vol. 203, no. 5, 2007, pp. 278–79.

Chicago Style

Wild, P, J Catto, M Abbod, et al. 2007. “Improving Gene Array Analysis: The Application of Artificial Intelligence Identifies Novel Biomarkers of Non Invasive Papillary Bladder Cancer Progression.” PATHOLOGY RESEARCH AND PRACTICE 203 (5): 278–79.
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Authors

+ Wild, P More by this author

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+ Catto, J More by this author

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+ Abbod, M More by this author

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+ Linkens, D More by this author

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+ Herr, A More by this author

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Journal:: PATHOLOGY RESEARCH AND PRACTICE More from this journal
Volume:: 203
Issue:: 5
Pages:: 278-279
Publication date:: 2007-01-01
ISSN:: 0344-0338

Pubs id:: pubs:120803
UUID:: uuid:10e2fc07-0e2f-4a96-b32c-d4a63b6008d3
Local pid:: pubs:120803
Source identifiers:: 120803
Deposit date:: 2012-12-19
ARK identifier:: ark:/29072/ora_10e2fc070e2f4a96b32cd4a63b6008d3

Terms of use

Copyright date:: 2007

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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